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  Kernel Methods and Their Applications to Signal Processing

Bousquet, O., & Perez-Cruz, F. (2003). Kernel Methods and Their Applications to Signal Processing. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03) (pp. 860-863). Piscataway, NJ, USA: IEEE. doi:10.1109/ICASSP.2003.1202779.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-DDA8-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-71DC-4
Genre: Conference Paper

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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1202779 (Publisher version)
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 Creators:
Bousquet, O1, 2, Author           
Perez-Cruz, F, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Recently introduced in Machine Learning, the notion of kernels has drawn a lot of interest as it allows to obtain non-linear algorithms
from linear ones in a simple and elegant manner. This, in conjunction
with the introduction of new linear classification methods such as the
Support Vector Machines has produced significant progress. The
successes of such algorithms is now spreading as they are applied to
more and more domains. Many Signal Processing problems, by their
non-linear and high-dimensional nature may benefit from such
techniques. We give an overview of kernel methods and their recent
applications.

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 Dates: 2003-06
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 2018
DOI: 10.1109/ICASSP.2003.1202779
 Degree: -

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Title: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003)
Place of Event: Hong Kong, China
Start-/End Date: 2003-04-06 - 2003-04-10

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Title: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: 4 Sequence Number: - Start / End Page: 860 - 863 Identifier: ISBN: 0-7803-7663-3